metadata
language:
- en
tags:
- meta-ai
- meta-pytorch
- llama-cpp
license: fair-noncommercial-research-license
license-link: https://huggingface.co/facebook/fair-noncommercial-research-license
base_model: facebook/cwm
PsiPi/cwm-Q2_K-GGUF
Refer to the original model card for more details on the model.
Fitting on 24gb in LMStudio
- Flash attention ENABLED
- K Cache Quant type Q8_0
- V Cache Quant type Q8_0
- Layer Offload 64
- Context Length ~50k
Fitting on 24gb in LMStudio @Q4_0
- Flash attention ENABLED
- K Cache Quant type Q4_0
- V Cache Quant type Q4_0
- Layer Offload 64
- Context Length 131072
Use with llama.cpp
Install llama.cpp through brew (works on Mac and Linux)
brew install llama.cpp
Invoke the llama.cpp server or the CLI.
CLI:
llama-cli --hf-repo PsiPi/cwm-Q2_K-GGUF --hf-file cwm-q2_k.gguf -p "The meaning to life and the universe is"
Server:
llama-server --hf-repo PsiPi/cwm-Q2_K-GGUF --hf-file cwm-q2_k.gguf -c 2048
Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.
Step 1: Clone llama.cpp from GitHub.
git clone https://github.com/ggerganov/llama.cpp
Step 2: Move into the llama.cpp folder and build it with LLAMA_CURL=1 flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
cd llama.cpp && LLAMA_CURL=1 make
Step 3: Run inference through the main binary.
./llama-cli --hf-repo PsiPi/cwm-Q2_K-GGUF --hf-file cwm-q2_k.gguf -p "The meaning to life and the universe is"
or
./llama-server --hf-repo PsiPi/cwm-Q2_K-GGUF --hf-file cwm-q2_k.gguf -c 2048